1. Larry Kagemann

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    1. Mentioned In 46 Articles

    2. A Method to Estimate Biomechanics and Mechanical Properties of Optic Nerve Head Tissues From Parameters Measurable Using Optical Coherence Tomography

      A Method to Estimate Biomechanics and Mechanical Properties of Optic Nerve Head Tissues From Parameters Measurable Using Optical Coherence Tomography

      Tissue properties and biomechanics of the optic nerve head (ONH) are important to the development and progression of glaucoma, but remain mostly unmeasurable in the experiment. We hypothesized that these can be estimated numerically from ocular parameters measurable in-vivo with optical coherence tomography (OCT). Using previously reported parametric models representing human ONHs we simulated acute intraocular pressure (IOP) increases (10 mmHg). Statistical models were fit to predict, from OCT-measurable parameters, 15 outputs of interest including tissue properties, stresses and deformations. The calculations were repeated adding parameters that have recently been proposed as potentially measurable with OCT. We evaluated the sensitivity ...

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    3. Repeatability of in vivo 3D lamina cribrosa microarchitecture using adaptive optics spectral domain optical coherence tomography

      Repeatability of in vivo 3D lamina cribrosa microarchitecture using adaptive optics spectral domain optical coherence tomography
      ...dler,^1 Bo Wang,^1,^2 Gadi Wollstein,^1,^* Jessica E. Nevins,^1 Hiroshi Ishikawa,^1,^2 Richard Bilonick,^1,^2 Larry Kagemann,^1,^2 Ian A. Sigal,^1,^2 R. Daniel Ferguson,^3 Ankit Patel,^3 Daniel X. Hammer,^4 and Joel S. S...
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    4. In Vivo Lamina Cribrosa Micro-Architecture in Healthy and Glaucomatous Eyes as Assessed by Optical Coherence Tomography

      In Vivo Lamina Cribrosa Micro-Architecture in Healthy and Glaucomatous Eyes as Assessed by Optical Coherence Tomography
      ...E. Nevins^1, 3. Zach Nadler^1, 4. Gadi Wollstein^1, 5. Hiroshi Ishikawa^1,^2, 6. Richard A. Bilonick^1,^3, 7. Larry Kagemann^1,^2, 8. Ian A. Sigal^1,^2, 9. Ireneusz Grulkowski^4, 10. Jonathan J. Liu^4, 11. Martin Kraus^4...
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    5. In-Vivo Lamina Cribrosa Microarchitecture in Healthy and Glaucomatous Eyes as Assessed by Optical Coherence Tomography

      In-Vivo Lamina Cribrosa Microarchitecture in Healthy and Glaucomatous Eyes as Assessed by Optical Coherence Tomography

      Purpose: Lamina cribrosa (LC) is a leading location of glaucomatous damage. The purpose of this study is to compare LC 3-dimensional microarchitecture between healthy and glaucomatous eyes in-vivo using optical coherence tomography (OCT). Methods: Sixty-eight eyes (19 healthy and 49 glaucomatous) from 47 subjects were scanned in a 3.5x3.5x3.64mm volume (400x400x896 pixels) at the optic nerve head using swept-source OCT. The LC microarchitecture parameters were measured on the visible LC by an automated segmentation algorithm. The LC parameters were compared to diagnosis and visual field mean deviation (MD) using a linear mixed effects model accounting for age ...

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    6. Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

      Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes
      ...or Affiliations Zach Nadler,^1 Bo Wang,^1,^2 Gadi Wollstein,^1,^* Jessica E. Nevins,^1 Hiroshi Ishikawa,^1,^2 Larry Kagemann,^1,^2 Ian A. Sigal,^1,^2 R. Daniel Ferguson,^3 Daniel X. Hammer,^4 Ireneusz Grulkowski,^5 Jonat...
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    7. Signal Normalization Reduces Systematic Measurement Differences Between Spectral Domain Optical Coherence Tomography Devices

      Signal Normalization Reduces Systematic Measurement Differences Between Spectral Domain Optical Coherence Tomography Devices

      Purpose: To test the effect of a novel signal normalization method for reducing systematic optical coherence tomography (OCT) measurement differences among multiple spectral-domain (SD-) OCT devices. Methods: One hundred and nine eyes from 59 subjects were scanned with two SD-OCT devices (Cirrus and RTVue) at the same visit. OCT image data were normalized to match their signal characteristics between the devices. To compensate signal strength differences, a custom high dynamic range (HDR) processing was also applied only to images with substantially lower signal strength. Global mean peripapillary RNFL thicknesses were then measured automatically from all images using custom segmentation software ...

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    8. Individual A-scan Signal Normalization Between Two Spectral Domain Optical Coherence Tomography Devices

      Individual A-scan Signal Normalization Between Two Spectral Domain Optical Coherence Tomography Devices

      Purpose: To develop a method to normalize optical coherence tomography (OCT) signal profiles from two spectral-domain (SD-) OCT devices so that the comparability between devices increases. Methods: Twenty-one eyes from 14 healthy and 7 glaucoma subjects were scanned with two SD-OCT devices on the same day with equivalent cube scan patterns centered on the fovea (Cirrus HD-OCT, Carl Zeiss Meditec, Dublin, CA; and RTVue, Optovue, Fremont, CA). Foveola positions were manually selected and used as the center for registration of the corresponding images. A-scan signals were sampled 1.8 mm from the foveola in the temporal, superior, nasal and inferior ...

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    9. High Dynamic Range (HDR) Imaging Concept Based Signal Enhancement Method Reduced the Optical Coherence Tomography (OCT) Measurement Variability

      High Dynamic Range (HDR) Imaging Concept Based Signal Enhancement Method Reduced the Optical Coherence Tomography (OCT) Measurement Variability

      Purpose: To develop and test a novel signal enhancement method for optical coherence tomography (OCT) images based on the high dynamic range (HDR) processing concept. Methods: Three virtual channels, which represent low, medium, and high signal components, were produced for each OCT signal dataset. The dynamic range of each signal component was normalized to the full gray scale range. Finally, the three components were recombined into one image using various weights. Fourteen eyes of 14 healthy volunteers were scanned multiple times using time-domain (TD-) OCT before and while preventing blinking in order to produce a wide variety of signal strength ...

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    10. Inflammatory response to intravitreal injection of gold nanorods

      Inflammatory response to intravitreal injection of gold nanorods

      Aim To evaluate the utility of gold nanorods (AuNRs) as a contrast agent for ocular optical coherence tomography (OCT). Methods Mice were intravitreally injected with sterile AuNRs coated with either poly(strenesulfate) (PSS-AuNRs) or anti-CD90.2 antibodies (Ab-AuNRs), and imaged using OCT. After 24 h, eyes were processed for transmission electron microscopy or rendered into single cell suspensions for flow cytometric analysis to determine absolute numbers of CD45 + leukocytes and subsets (T cells, myeloid cells, macrophages, neutrophils). Generalised estimation equations were used to compare cell counts between groups. Results PSS-AuNRs and Ab-AuNRs were visualised in the vitreous 30 min and ...

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    11. Glaucoma discrimination of segmented cirrus spectral domain optical coherence tomography (SD-OCT) macular scans

      Glaucoma discrimination of segmented cirrus spectral domain optical coherence tomography (SD-OCT) macular scans

      Aims To evaluate the glaucoma discriminating ability of macular retinal layers as measured by spectral domain optical coherence tomography (SD-OCT). Methods Healthy, glaucoma suspect and glaucomatous subjects had a comprehensive ocular examination, visual field testing and SD-OCT imaging (Cirrus HD-OCT; Carl Zeiss Meditec, Dublin, California, USA) in the macular and optic nerve head regions. OCT macular scans were segmented into macular nerve fibre layer (mNFL), ganglion cell layer with inner plexiform layer (GCIP), ganglion cell complex (GCC) (composed of mNFL and GCIP), outer retinal complex and total retina. Glaucoma discriminating ability was assessed using the area under the receiver operator ...

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    12. Alignment of 3-D Optical Coherence Tomography Scans to Correct Eye Movement Using a Particle Filtering

      Alignment of 3-D Optical Coherence Tomography Scans to Correct Eye Movement Using a Particle Filtering

      Eye movement artifacts occurring during 3-D optical coherence tomography (OCT) scanning is a well-recognized problem that may adversely affect image analysis and interpretation. A particle filtering algorithm is presented in this paper to correct motion in a 3-D dataset by considering eye movement as a target tracking problem in a dynamic system. The proposed particle filtering algorithm is an independent 3-D alignment approach, which does not rely on any reference image. 3-D OCT data is considered as a dynamic system, while the location of each A-scan is represented by the state space. A particle set is used to approximate the ...

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    13. 1-15 of 46 1 2 3 »
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  2. About Larry Kagemann

    Larry Kagemann

    Lawrence Kagemann is a Research Assistant Professor in the School of Medicine Eye and Ear Institute and the School of Engineering Department of Bioengineering at the University of Pittsburgh.